Clinical trials
Prediction clinical trials
Below are recruiting prediction clinical trials, each written for real people, not researchers. We’re tracking 1,080 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07814508Recruiting
Continuous glucose monitor app study for insulin users
This study tests a new continuous glucose monitor (CGM) system with a predictive app to help people on insulin therapy manage their blood sugar better. It aims to see if the app improves daily life and glucose control.
Bad Mergentheim, Baden-WurttembergAges 18 years+ - NCT06020482Recruiting
Fibrosis markers in endometriosis for predicting severity
This study looks for natural markers related to scarring (fibrosis) in endometriosis. Researchers will compare samples from women with and without endometriosis to better predict how severe the disease may be.
PragueAges 18–45 - NCT07855783Recruiting
Predicting pregnancy success after fertility treatments
This study uses past patient information and early pregnancy blood test results to create a computer model that can forecast whether a fertility treatment will lead to a live birth. If you have undergone fertility treatment and had a positive early pregnancy test, your data may help improve predictions for future patients.
RijekaAges 18–45 - NCT07715617Recruiting
Creating a prediction score for lung transplant or death in Alpha-1 Antitrypsin Deficiency
This study is creating a simple scoring system to predict who with Alpha-1 Antitrypsin Deficiency-related emphysema might need a lung transplant or die from the disease. Your medical records from 2010–2025 will help build this tool, with no extra tests or visits required.
BronAges 18 years+ - NCT07595094Recruiting
Blood Age Test for Predicting Health and Disease Risk
This study uses a special blood test to calculate your 'biological age' and predict your risk for serious illness, death, and how long you'll live healthy. Researchers want to understand if this test can help doctors catch health problems early.
Nanchang, JiangxiAges 35 years+ - NCT07564388Enrolling by invitation
Predicting How Well Cochlear Implants Will Work for You
This research study tests whether certain thinking and hearing skills can predict how much benefit you'll get from a cochlear implant (a device that helps deaf or hard-of-hearing people hear). If you qualify, you'll take some tests that measure how your brain processes sound and language.
Chicago, IllinoisAges Up to 18 years - NCT07333560Recruiting
Predicting recovery after hip or knee replacement
This study is developing a tool that uses machine learning to predict how well you will recover after hip or knee replacement surgery. It aims to help doctors create better recovery plans for people like you.
BolognaAges 18 years+ - NCT04665882Recruiting
Prediction tool for arm swelling after breast cancer surgery
This trial tests a prediction tool (a “nomogram”) to estimate who is at risk of developing breast cancer–related lymphedema, or long-term arm swelling, after surgery. If you fit the surgery and lymph node criteria, your information may help personalize follow-up and prevention.
Wuhan, HubeiAges 18–80 - NCT04217018Recruiting
AI uses MRI to predict glioma’s molecular changes
This study uses brain MRI images and tumor tissue to predict the tumor’s molecular (cell-level) features in people with glioma. It may help doctors better understand glioma biology and plan care based on noninvasive imaging plus lab testing.
Zhengzhou, HenanAges 1–95 - NCT04215224Recruiting
AI prediction of outcomes for glioma after tumor surgery
This trial uses AI to look at tumor tissue images to predict survival in people with glioma. If you qualify, your surgery tissue and imaging help train tools that may better estimate outcomes and guide care.
Zhengzhou, HenanAges 1–90 - NCT04215211Recruiting
AI tool to predict survival in people with glioma
This trial uses brain scan images (MRI) and tumor tissue tests to predict how long people with primary glioma may live. The goal is to see if the AI prediction can improve planning and care after surgery.
Zhengzhou, HenanAges 1–90 - NCT04217044Recruiting
AI helps predict glioma molecular changes from tumor images
This trial uses an AI computer program to predict the molecular features of a primary brain tumor (glioma) by looking at tumor tissue images. Your results could help researchers better match glioma subtypes to more tailored care, using information obtained from the surgery sample.
Zhengzhou, HenanAges 1–95 - NCT06202404Recruiting
Predicting cancer spread with a new imaging tool
This trial tests if a special imaging analysis can predict where your cancer might spread. It's for people with advanced lung, colorectal, or breast cancer who are starting or continuing treatment.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT06301945Recruiting
AI tool for thymus tumors
This study is using an artificial intelligence tool to help doctors better predict how thymus tumors (thymoma and thymic carcinoma) will behave. It may help guide decisions about treatment and follow-up.
Rotterdam, South HollandAges Any age - NCT07851480Recruiting
Predicting nightmares in military veterans with PTSD
This study is testing whether wearable sensors can predict when a nightmare is about to happen by looking at body signals like heart rate and breathing. If it works, it could lead to earlier help for people with PTSD who suffer from frequent nightmares.
BrestAges 18–65 - NCT07830576Recruiting
Predicting survival after liver surgery for colorectal cancer
This study uses your liver MRI scans and medical information to build a tool that predicts survival after surgery for colorectal cancer that has spread to the liver. It may help doctors better understand your outlook and plan care.
Hefei, AnhuiAges 18–80 - NCT06526065Recruiting
Understanding lymphoma biology to improve treatment
This study looks at the biology of certain lymphomas to better understand why some people respond well to treatment and others don't. It involves giving a small additional blood or tissue sample to help researchers find genetic clues that could improve future care.
Göttingen, Lower SaxonyAges 18–85 - NCT07780526Recruiting
Predicting intensive care needs after surgery
This study looks at whether anesthesiologists can predict which patients will need intensive care after surgery or a procedure. It may help improve how doctors plan care for patients after operations.
VanAges 18 years+ - NCT07775365Recruiting
AI predicts gum coverage from photos
This study uses an artificial intelligence (AI) system to look at close-up photos of your gums and predict how well a gum graft procedure might work to cover receded gums. It aims to help doctors plan your treatment more accurately.
Istanbul, IstanbulAges 18–65 - NCT07769151Recruiting
BIO-FUNCTION test for predicting transplant risks
This study tests a new lab test called BIO-FUNCTION that may help doctors predict the risk of serious complications after a stem cell transplant. It aims to make transplants safer by identifying patients who might need extra support.
Detroit, MichiganAges 18 years+ - NCT07773818Recruiting
Improving early triple-negative breast cancer prediction
This study is part of a larger project collecting detailed genetic and other biological data from people with triple-negative breast cancer. The goal is to build better models to predict how the disease will progress and respond to treatment.
Beijing, Beijing MunicipalityAges 18–75 - NCT07728734Enrolling by invitation
Predicting recovery after a brain bleed
This study is testing a way to predict how well people will recover after a brain bleed (intracerebral hemorrhage). It uses information from the first 24 hours to help doctors and families understand the chances of getting better.
Badalona, BarcelonaAges 18 years+ - NCT07726290Recruiting
Testing AI to predict gender from jawbone scans
This trial uses 3D jaw scans to see if an AI can accurately predict a person's gender. It might help if you have a clear scan of your jaw.
CairoAges 18 years+ - NCT07731191Recruiting
Digital tools to predict Alzheimer's risk factors
This study uses smartphone tools to track early signs of Alzheimer's by analyzing risk factors. It is for people with mild cognitive issues (MCI) or subjective cognitive decline (SCD) who do not have dementia.
Brescia, BSAges 18 years+
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Common questions
- Are there clinical trials for prediction?
- Yes. Clin2 currently lists 1,080 recruiting prediction studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a prediction trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a prediction trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.